{"id":"W4255060645","doi":"10.1515/iupac.88.0681","title":"Developmental Toxicology","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001681486,0.001583295,0.001513509,0.006024958,0.0010624,0.003403786,0.002316364,0.001773854,0.1246197],"category_scores_gemma":[0.01256694,0.0007739962,0.002073595,0.00873182,0.0004484618,0.002339022,0.002952036,0.002252453,0.09907429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898664,"about_ca_system_score_gemma":0.004297776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556316,"about_ca_topic_score_gemma":0.02878893,"domain_scores_codex":[0.9983358,0.0002835609,0.0003810419,0.0004116897,0.0004281107,0.0001598653],"domain_scores_gemma":[0.993291,0.002222752,0.0009365065,0.001457395,0.001763408,0.0003290198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001103282,0.00001864948,0.00169023,0.005310615,0.00007073762,0.00004990035,0.00003983958,0.0002485087,0.0002580016,0.001826523,0.9746677,0.01570898],"study_design_scores_gemma":[0.00006277797,0.000009793574,0.002686388,0.001168085,0.00003692805,0.00007408186,0.00003233299,0.0000728431,0.0001707537,0.001255504,0.9944137,0.00001663471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009699965,0.0004684988,0.0001833599,0.0001247261,0.00005864829,0.00002794261,0.9963195,0.000243604,0.002476679],"genre_scores_gemma":[0.0004275203,0.0006665467,0.0006581256,0.000211386,0.00001874745,0.0001285731,0.9961146,0.00007616162,0.001698457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1246197,"threshold_uncertainty_score":0.4168943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092507696736007,"score_gpt":0.4184679959829495,"score_spread":0.3975429190155894,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}